Michael K.K. Leung

Research Interests

Computational biology and machine learning.

Recent Works

Machine learning in genomic medicine: A review of computational problems and data sets
Michael K.K. Leung, Andrew Delong, Babak Alipanahi, Brendan J. Frey
Proceedings of the IEEE, Vol 104, Issue 1, p. 176-197, 2016. (link)

Using deep learning to predict variable polyadenylation
Michael K.K. Leung, Brendan J. Frey
NIPS, Machine Learning in Computational Biology Workshop, 2014. (video)

Deep learning of the tissue-regulated splicing code
Michael K.K. Leung, Hui Yuan Xiong, Leo J. Lee, Brendan J. Frey
Proceedings of the 22nd Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), 2014.
Published in Bioinformatics, Vol 30, No. 12, p. i121-i129. (link)

Tissue-dependent alternative splicing prediction using deep neural network
Michael K.K. Leung, Hui Yuan Xiong, Leo J. Lee, Brendan J. Frey
NIPS, Machine Learning in Computational Biology Workshop, 2013. (poster)

Publications

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